Research And Design Of Fault Diagnosis System For Hydraulic Hoist In Ship Lock

In the shiplock system configuration, because the hydraulic have the advantages ofbig torque,stable operation and easy to drive, they have been used in the most of the shiplocks as the driving device. But they often works after a period of time will inevitablyturn device worn or damaged.The performance caused by system aging is not easy tofeel.When the hydraulic hoists have obvious fault, it often is irreversible andit generallyneeds to replace the hydraulic device. Because of its heavy mechanical equipment, andits maintenance and replacement need hightechnology, the repair is often needed forprofessional and technical and operational guidance, so that repair time is very long. It isvery bad for transportation, not only for the normal traffic but also makegreat loss to therelevant enterprises production.Currently the ship lock control system presents on the online signals, warningmessages and reports etc.This method fail to check hydraulic hoistcomponents aging,unable to provide early warning information in advance for the users, on the other hand,it cannot guide the users to find the fault source location. To improve this situation, weput forward a hydraulic hoist maintenance system consisted ofthree sub function blocksthat fault early warningby probability statistics, enhanced the fault detection and faultdiagnosis by rules. The purpose of the maintenance system is to reduce the failure rate,increase the fault alarm information and shortenthe fault diagnosis period.The first chapter of this paper introduces the hydraulic hoist of background and thecurrent common diagnosis methods, and put forward the necessity of implementation ofbetter maintenance system for hydraulic hoist in ship lock. The second chapterintroduces the related methods in fault early warning of the working principle, hydraulichoist in data mining, also introduced the expert system’sstructure, classification and itsdevelopment language Visual Prolog. The third chapter introduces the hardwarestructure and the software algorithm selection, fault warning selected based onmathematical statistic method, the fault diagnosis using a rule-based method. The fourthchapter describes the realization method in fault early warning, fault judgment and faultdiagnosis function. The fifth chapter gives a summary on the structure and function ofthe system, and puts forward the improvement for the maintenance system for hydraulichoist in ship lock.In the course of the study, I summarized the various hydraulic hoist fault diagnosismethods, analyzed the development of expert system and use, read the relevant data ofhydraulic hoist and its failure analysis. The design and realization process I used the statistical data processing, with Matlab and PLC on the signal analysis, Visual Prolog tothe design of fault diagnosis expert system based on rules, also put forward morehydraulic hoist alarm method.Design and implementation of the hydraulic has fault warning, fault alarm and faultdiagnosis expert system of hoist.Firstlythe system provideshydraulic hoist warningsignals for users, to achieve early detection and early treatment, avoid faults. Secondlythe fault alarm has more new methods, so that the system can identify the faultinformation more. Finally when appeared in the fault information or to believe that thefailure, the expert system can realization of fault diagnosis based on rules, for the user tonarrow the scope of fault source, reduce the repair time.The system can reduce the equipment failure probability, reduce the hydraulic hoistfault diagnosis cycle, reduce loss of enterprises, and improve the passing rate of shiplock.